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Citation 410

Bibliographic concordance score: 71.4/100 (partial correspondence)

Citation source: INSTAGRAM, “Etude de cas: correction impérieuse”, published on 14 Oct 2025

This score (71.4%) describes the concordance of available metadata for the automated candidate; it is not a validation status.

The bibliographic concordance score is high, but title lexical similarity is low.

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Cited reference

Palmer et al., 2017. Prediction error signaling in ASD. Cereb Cortex.

Best automated candidate

No validated match

Cabrera-Palmer, Belkis (2017). Field Response Prediction: Framing the problem. https://doi.org/10.2172/1367617

Candidate references (M1 and M2)

Method Jaccard index Source Candidate reference
M1: Crossref, OpenAlex and PubMed 14.3% M1: Crossref Cabrera-Palmer, Belkis (2017). Field Response Prediction: Framing the problem. https://doi.org/10.2172/1367617
M2: Google Scholar via SerpApi 0.0% M2: Google Scholar CJ Palmer; RP Lawson; J Hohwy (2017). Bayesian approaches to autism: Towards volatility, action, and behavior. Psychological bulletin.

M1: Crossref is selected because it has the highest title Jaccard index.

Bibliographic concordance score calculation

Element Status Score Weight
Authors Concordant 100.0% 0.20
Title Non-concordant 14.3% 0.20
Year Concordant 100.0% 0.20
Journal Non-concordant (missing from candidate metadata) - -
DOI Not present (absent) - -

(Authors 100.0x0.20 + Title 14.3x0.20 + Year 100.0x0.20) / evaluated weight 0.60 (Journal missing from candidate metadata: 0.20 removed; DOI absent: 0.20 removed) = 71.4

Title correspondence details (Jaccard index)

Union: 7 words present in the titles
error; prediction; signaling; field; framing; problem; response
Intersection: 1 shared words
prediction
Words cited but absent from the matched title
error; signaling
Words from the matched title absent from the citation
field; framing; problem; response
Tolerance applied
ASD -> autism spectrum disorder; domain equivalence tolerated: autism / autism spectrum condition(s) / autism spectrum disorder(s)
Index calculation
Jaccard index = intersection / union = 1 / 7 = 14.3 %
Jaccard index
14.3% (very low lexical similarity)

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